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Integrated Intelligent Control Of Direct Torque Control System

Posted on:2005-06-29Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2168360122497748Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
In the paper, we brought forward using integrated algorithm to realize the control of the DCT system. Integrated intelligent algorithm is the integration of intelligent algorithm. It learns from strong points of the intelligent algorithm to offset their weakness and exert the superiority of entirety. In the paper, the integrated intelligent algorithm we adapted is the integration of fuzzy theory, neural network, genetic algorithm and immune algorithm. And bringing forward the new algorithm of FNN optimized by immune genetic algorithm.Fuzzy theory adapts fuzzy set theory to express control information and experience by fuzzy quantity and manage fuzzy reasoning to decide and control. Its mathematical theory system is integrated and algorithm is clear. Neural network needn't precise mathematical model. It can settle many complex, uncertain and nonlinear problems. In the information processing and complex real time control, it brought out great dominant and potentiality. Genetic algorithm provides an efficient channel to complex problems that tradition mathematic is difficult to settle or obvious failure, especially optimization problems. Immune algorithm obtains pointer from organism immune system. It has important meaning and long term potential to develop and plan new intelligent optimization model.Induction motor DTC has the performances of control algorithm easy, dynamic response fast and motor parameters affect less. It is a high performance induction motor control method after vector control. The thesis adapted immune genetic algorithm based on combination of immune system and genetic algorithm to optimize FNN and realize DTC of induction motor. It settled the problems of parameter optimization and performance of low velocity. It improved static property and dynamic performance of system. FNN controller based on immune genetic algorithm has better performance than FNN controller. It can make the control system stability and regulating speed faster. In control, it gets an advantage over other methods. It can make the use of induction motor that based on DTC technique further prolongation.
Keywords/Search Tags:integrated intelligent algorithm, immune genetic algorithm, FNN
PDF Full Text Request
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